Students' assessment of YouTube's usefulness in the field of education through data science and machine learning

Abstract

This quantitative survey analyzes students' perceptions of the usefulness of YouTube in Education through scientific data. The sample consists of 108 students from the Degree in Business Administration, Computer Science, Accounting, Commerce and Marketing who completed semesters 1, 2, 3 and 4 at a Mexican university during the 2017 academic year. The results of the machine learning (linear regression) indicate that YouTube as a means of communication and interaction facilitates the educational process. The decision tree technique allows to identify nine predictive models about the use of YouTube for the search, selection and storage of audiovisual content. In addition, the use of YouTube in school activities favors the active role of the student. Finally, YouTube as a means of communication and interaction improves teaching and learning conditions.